The development lifecycle for services or products includes a phase of changes for maintaining quality and function. Continual Improvement

Read the May 2022 Inside Dataology Newsletter. Analytics, data, and more.

For any data project, collecting the needed facts requires research and placing into a file. Most times, this means either a spreadsheet or

There are four types of analytics: Descriptive, Diagnostic, Prescriptive, and Predictive. Selecting the right type requires knowledge...

A person's socioeconomic level also shows their relationship to their health and utilization of health care.

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Quality Improvement, using statistics for decisions by data referenced knowledge. Decisions are constant...

Continuous Improvement is a method of restarting the cycle to review, find change...

Creating a plan, or mapping a project lifecycle, needs critical thinking in HealthTech which means analytics.

Relational databases are structured like a table with rows and columns. Viewing data requires Schema for record retrieval.

Databases come in two types, Relational Database or Non-Relational Databases. Relational Databases have set relationships between entities.

Descriptive statistics are the present state of data in a dataset. Learn from tips for performing in R, Python, and Microsoft Excel.

Preprocessing is an important part of any data-related task. Here are some examples of how to create good usable data from dirty data.

Learn the basics of data ingestion, how it’s different than processing, and why each is critical to your analytics success.